U h@s|ddlmZddlZddlmZddlmZdZdZ dd Z ed d dd dZ ed d dddZ ed d dddZ dS))reduceN)polygon)requirecCsJtj|td}dd|D}dd|D}t|||\}}||||f<|S)N)ZdtypecSsg|] \}}|qSr.0xyrrF/tmp/pip-unpacked-wheel-gtraehzf/skimage/future/manual_segmentation.py sz'_mask_from_vertices..cSsg|] \}}|qSrrr rrr rs)npzerosintr)verticesshapelabelmaskprZpcrrccrrr _mask_from_vertices s  r matplotlibz>=3.3皙?c CsVddlm}ddlm}ddlm}||dd}||gd|d}||}||S)Nr)Polygon)PatchCollectionT)closed)Zmatch_originalalpha)Zmatplotlib.patchesrZmatplotlib.collectionsrmatplotlib.pyplotpyplotZadd_collectiondraw) axrrrrpltrppolygon_objectrrr _draw_polygons     r'Fc sddl}ddlmggggjdkr6td\jddjddfd d } d d d d g |j d}| | fdd}j d|jddfddtddD}|rt|Sttj|tdjddSdS)alReturn a label image based on polygon selections made with the mouse. Parameters ---------- image : (M, N[, 3]) array Grayscale or RGB image. alpha : float, optional Transparency value for polygons drawn over the image. return_all : bool, optional If True, an array containing each separate polygon drawn is returned. (The polygons may overlap.) If False (default), latter polygons "overwrite" earlier ones where they overlap. Returns ------- labels : array of int, shape ([Q, ]M, N) The segmented regions. If mode is `'separate'`, the leading dimension of the array corresponds to the number of regions that the user drew. Notes ----- Use left click to select the vertices of the polygon and right click to confirm the selection once all vertices are selected. Examples -------- >>> from skimage import data, future, io >>> camera = data.camera() >>> mask = future.manual_polygon_segmentation(camera) # doctest: +SKIP >>> io.imshow(mask) # doctest: +SKIP >>> io.show() # doctest: +SKIP rNrr.Only 2D grayscale or RGB images are supported.皙?ZbottomgrayZcmapcs*r&}|jdSNpopremovecanvasZ draw_idleargskwargsZ last_polyfiglist_of_vertex_listspolygons_drawnrr _undoVs z*manual_polygon_segmentation.._undo333333?皙?333333?⟲cs|jdks|jkrdSr$dS|jtkrr|j|jgrT}|t dd}|n^|jt krЈsdSddt d}|}|dd= dS)Ngffffff?r) ZinaxesZget_navigate_modebutton LEFT_CLICKappendZxdataZydatar0r1r' RIGHT_CLICKr")eventZpolyrr&Z preview_poly)rr#r8r$r9preview_polygon_drawn temp_listundo_posrr _extend_polygoncs*     z4manual_polygon_segmentation.._extend_polygonZbutton_press_eventTblockc3s(|] \}}t|jdd|VqdSNrrrr irimagerr sz.manual_polygon_segmentation..rstartr)rr r!ndim ValueErrorsubplotssubplots_adjustimshow set_axis_offadd_axeswidgetsButton on_clickedr2Z mpl_connectshow enumeraterstackrmaximum broadcast_tor)rPr return_allrr: undo_buttonrHlabelsr) rr#r7rPr8r$r9rErFrGr manual_polygon_segmentation!s2$      %    rfc sddl}ddlmggjdkr.td\jddjddfd d } d d d d g}|j |d}| |fdd}|j |jddfddtddD}|rt|Sttj|tdjddSdS)a*Return a label image based on freeform selections made with the mouse. Parameters ---------- image : (M, N[, 3]) array Grayscale or RGB image. alpha : float, optional Transparency value for polygons drawn over the image. return_all : bool, optional If True, an array containing each separate polygon drawn is returned. (The polygons may overlap.) If False (default), latter polygons "overwrite" earlier ones where they overlap. Returns ------- labels : array of int, shape ([Q, ]M, N) The segmented regions. If mode is `'separate'`, the leading dimension of the array corresponds to the number of regions that the user drew. Notes ----- Press and hold the left mouse button to draw around each object. Examples -------- >>> from skimage import data, future, io >>> camera = data.camera() >>> mask = future.manual_lasso_segmentation(camera) # doctest: +SKIP >>> io.imshow(mask) # doctest: +SKIP >>> io.show() # doctest: +SKIP rNr(r)r*r+r,r-cs*r&}|jdSr.r/r3r6rr r:s z(manual_lasso_segmentation.._undor;r<r=r>cs>t|dkrdS|t|d}|dS)Nrr?)lenrBr'r")rr&)rr#r8r$r9rr _on_lasso_selections    z6manual_lasso_segmentation.._on_lasso_selectionTrIc3s(|] \}}t|jdd|VqdSrKrLrMrOrr rQsz,manual_lasso_segmentation..rrRr)rr r!rTrUrVrWrXrYrZr[r\r]Z LassoSelectorr^r_rr`rrarbr) rPrrcrr:rGrdrhrer)rr#r7rPr8r$r9r manual_lasso_segmentations.#          ri)r)rF)rF) functoolsrZnumpyrr"rZ_shared.version_requirementsrrArCrr'rfrirrrr s      r